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Volume Converter

converters_volume_converter

Convert cooking and liquid volume units: milliliters, liters, cubic meters, US gallons, quarts, pints, cups, fluid ounces, tablespoons and teaspoons. — x402 price $0.001/call (USDC, eip155:8453).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTo
fromYesFrom
valueYesValue

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral burden. It usefully discloses the payment requirement (x402 price $0.001/call, USDC, eip155:8453), which an agent must know before calling, but says nothing about precision/rounding, error behavior on invalid units, or the shape of the returned value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the first clause and the pricing note is appended as a brief second element. The unit enumeration is lengthy but functionally informative, so the text is appropriately sized with little waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-parameter converter with no output schema and no annotations, the description covers the what and the cost but omits the return format and any precision guarantees. It is minimally viable rather than fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description's unit list merely restates the enum values already present for 'from' and 'to', and adds nothing about the numeric 'value' parameter's range or format, so no credit above baseline is warranted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Convert') and resource ('cooking and liquid volume units') and enumerates the supported units, making it immediately distinguishable from sibling converters like length, weight, or temperature. An agent can select it without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'cooking and liquid volume units' implicitly scopes usage to volume conversions, which is enough to separate it from non-volume siblings. However, there is no explicit when-to-use/when-not statement or routing to alternatives, so guidance remains implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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